The composite decorator works by converting a function that returns one example into a function that returns a strategy that produces such examples - which you can pass to
@given
, modify with
.map
or
.filter
, and generally use like any other strategy.

It does this by giving you a special function
draw
as the first argument, which can be used just like the corresponding method of the
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strategy within a test. In fact, the implementation is almost the same - but defining a strategy with
@composite
makes code reuse easier, and usually improves the display of failing examples.

For example, the following gives you a list and an index into it:

draw(s)
is a function that should be thought of as returning
s.example()
, except that the result is reproducible and will minimize correctly. The decorated function has the initial argument removed from the list, but will accept all the others in the expected order. Defaults are preserved.

Note that the repr will work exactly like it does for all the built-in strategies: it will be a function that you can call to get the strategy in question, with values provided only if they do not match the defaults.

This works as
assume
normally would, filtering out any examples for which the passed in argument is falsey.

There is also the
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strategy, which gives you a means of using strategies interactively. Rather than having to specify everything up front in
@given
you can draw from strategies in the body of your test:

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Understanding how sensory information is processed by the brain in order to give rise to behavior remains poorly understood in general. Here we investigated the behavioral responses of the weakly electric fish
Apteronotus albifrons
to stimuli arising from different contexts, by measuring changes in the electric organ discharge (EOD) frequency. Specifically, we focused on envelopes, which can arise either due to movement (i.e., motion envelopes) or because of interactions between the electric fields of three of more fish (i.e., social envelopes). Overall, we found that the animal's EOD frequency effectively tracked the detailed timecourse of both motion and social envelopes. In general, behavioral sensitivity (i.e., gain) decreased while phase lag increased with increasing envelope and carrier frequency. However, changes in gain and phase lag as a function of changes in carrier frequency were more prominent for motion than for social envelopes in general. Importantly, we compared behavioral responses to motion and social envelopes with similar characteristics. While behavioral sensitivities were similar, we observed an increased response lag for social envelopes primarily for low carrier frequencies. Thus, our results imply that the organism can, based on behavioral responses, distinguish envelope stimuli resulting from movement from those that instead result from social interactions. We discuss the implications of our results for neural coding of envelopes and propose that behavioral responses to motion and social envelopes are mediated by different neural circuits in the brain.